Remove Artificial Inteligence Remove ChatGPT Remove Generative AI Remove Healthcare
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Hippocratic is building a large language model for healthcare

TechCrunch

AI, specifically generative AI, has the potential to transform healthcare. At least, that sales pitch from Hippocratic AI , which emerged from stealth today with a whopping $50 million in seed financing behind it and a valuation in the “triple digit millions.” the elusive “human touch”). .

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Putting AI to Work: Generative AI Meets the Enterprise

CIO

Five days after its launch, ChatGPT exceeded 1 million users 1. Generative AI (GenAI), the basis for tools like OpenAI ChatGPT, Google Bard and Meta LLaMa, is a new AI technology that has quickly moved front and center into the global limelight. Simply put, if AI is a rocket ship, data is the fuel.

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Healthcare organizations must create a strong data foundation to fully benefit from generative AI

CIO

Since the introduction of ChatGPT, the healthcare industry has been fascinated by the potential of AI models to generate new content. While the average person might be awed by how AI can create new images or re-imagine voices, healthcare is focused on how large language models can be used in their organizations.

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10 most in-demand generative AI skills

CIO

If any technology has captured the collective imagination in 2023, it’s generative AI — and businesses are beginning to ramp up hiring for what in some cases are very nascent gen AI skills, turning at times to contract workers to fill gaps, pursue pilots, and round out in-house AI project teams.

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6 generative AI hazards IT leaders should avoid

CIO

OpenAI’s recent announcement of custom ChatGPT versions make it easier for every organization to use generative AI in more ways, but sometimes it’s better not to. But this wasn’t the first time Bing’s AI news added dubious polls to sensitive news stories.

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Embracing Generative AI in health: focus on adoption, execution, outcomes and the human side

CIO

Healthcare systems around the world are under extreme pressure as a result of staffing shortages, low retention rates and clinician burnout. Given these pressures, it is understandable that healthcare professionals are now turning to generative AI for help. In the U.S.,

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Generative AI is pushing unstructured data to center stage

CIO

Advances in AI, particularly generative AI, have made deriving value from unstructured data easier. Yet IDC says that “master data and transactional data remain the highest percentages of data types processed for AI/ML solutions across geographies.” What’s different now? What’s hiding in your unstructured data?